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GenAI Blocks Engineering Lead

AT Google
Google

GenAI Blocks Engineering Lead

Mountain View, CA

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with Machine Learning (ML) algorithms and tools (e.g., TensorFlow), Artificial Intelligence (AI), Deep Learning, or Natural Language Processing (NLP).
Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or in a related technical field.
  • 5 years of experience working in a complex, matrixed organization.
  • Experience with Generative Artificial Intelligence (AI).
  • Experience with Language Modeling.

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About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

In this role, there is a core set of services that you should build and deploy to scale integrations for the most advanced models to useful everyday applications. You are at an inflection point and have a rare opportunity to create the standard architecture and set of services to dramatically increase the velocity and quality of Artificial Intelligence (AI) applications delivered.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $237,000-$337,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

  • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  • Design and develop functionality that spansLanguage Managers(LM) services (e.g., Orchestrator, Recitation, Watermarking, Factuality service, model cascading service, context manager, reasoning and tools-use, Responsible Artificial Intelligence (AI) etc.) across project boundaries.
  • Provide scalability, flexibility, new features and Changelist(CL) to productionvelocity for Generative Artificial Intelligence (GenAI) Blocks infrastructure.
  • Deploy Gemini, Genmedia and Agents from Research.

Client-provided location(s): Mountain View, CA, USA
Job ID: Google-86742116922729158
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Health Reimbursement Account
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Company Equity
    • Performance Bonus
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Internship Program
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

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